Question 1

The inventory management system also sends updates to product descriptions in JSON format. You need to update the corresponding records in Business Central based on the received data. How can you efficiently map the JSON data to the relevant fields in Business Central objects?

Options :

A : Use a loop and manually assign values based on property names.

B : Create a custom AL function for parsing and mapping each JSON response.

C : Leverage the JSON.Map function to automatically match properties with field names.

D : Utilize the WebServices.Serialize function to convert JSON to XML for update.

Answer: C

Question 2

A manufacturing company wants to automatically calculate the "Estimated Delivery Date" for a sales order based on several factors:

Product lead time: Stored in the "Item" table as a number of days.

Current production capacity: Retrieved dynamically from a custom table based on the "Work Center" assigned to the sales order.

Existing work queue: Number of pending production orders for the same item in the "Production Order" table.

Weekend days: Days should be excluded from the calculation.

You need to develop an AL function to achieve this calculation.

Which of the following AL expressions BEST represents the logic to calculate the Estimated Delivery Date?

Options :

A : CurrentDate + Item.LeadTime + ProductionOrder.Count

B : CurrentDate + IF(ProductionOrder.Count > 0, MAX(ProductionOrder.DueDate) + Item.LeadTime, Item.LeadTime)

C : CurrentDate + (Item.LeadTime + (ProductionOrder.Count * Capacity.AverageLeadTime)) * IF(WEEKDAY(CurrentDate) IN {6, 7}, 2, 1)

D : CURRENTDATE + (ITEM.LeadTime + (Capacity.AverageLeadTime * ProductionOrder.Count)) + SUM(IF(WEEKDAY(ProductionOrder.DueDate) IN {6, 7}, 1, 0))

Answer: C

Question 3

You're developing a new extension for Dynamics 365 Business Central that manages customer orders and invoices. The customer master data table currently stores various customer attributes, including contact information, shipping addresses, and tax identification numbers. However, the data is inconsistently formatted and lacks a clear structure. This inconsistency makes it difficult to generate accurate reports and invoices, and it increases the risk of errors.

Which of the following approaches BEST adheres to master data standards and design patterns to improve data quality and maintainability in this scenario?

Options:

Options :

A : Create a separate customer address table and link it to the customer master data table using a foreign key relationship.

B : Add new fields directly to the customer master data table to accommodate the additional customer information.

C : Use custom fields in the customer master data table to store the different customer attributes without creating separate tables.

D : Implement a custom code solution to validate and normalize the data in the existing customer master data table.

Answer: A

Question 4

You are developing a complex AL extension for Dynamics 365 Business Central that involves data manipulation and API interactions. To gain insights into how the extension is performing, you want to configure telemetry. Which two of the following steps are MOST important for effective telemetry configuration in this scenario?

Options :

A : Enable all available telemetry events in the Business Central administration page.

B : Define custom events in the AL code to track specific business logic execution.

C : Set custom dimensions for metrics to categorize performance data by user, company, or other relevant criteria.

D : Configure performance counters in the Windows Server hosting Business Central

Answer: B,C

Question 5

ABC Company uses Dynamics 365 Business Central to manage their purchasing activities. You, as a developer, are tasked with creating a query that retrieves all open purchase orders due within the next 30 days.

Available Data Items:

Purchase Order Header (Purchase Order No., Due Date, Status)

Purchase Order Line (Purchase Order No., Item No., Quantity)

Which filter criteria should be applied in the query to achieve the desired result?

Options :

A : Filter on Purchase Order Header."Status" equal to "Open" and Purchase Order Header."Due Date" less than or equal to the current date + 30 days.

B : Filter on Purchase Order Line."Quantity" greater than 0 and Purchase Order Line."Due Date" less than or equal to the current date + 30 days.

C : Filter on Purchase Order Header."Status" equal to "Open" and create a calculated field in Purchase Order Header to calculate the remaining days until due date, then filter on this field less than or equal to 30.

D : Use a temporary table to store all open purchase orders and then filter the temporary table on "Due Date" less than or equal to the current date + 30 days.

Answer: A

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